MacBook Pro (13-inch, 2022)
Geekbench ML Score
3787
Core ML CPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | September 20 2024 06:24 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5046f) |
| Model | MacBook Pro (13-inch, 2022) |
| Model ID | Mac14,7 |
| Motherboard | Mac14,7 |
| CPU Information | |
|---|---|
| Name | Apple M2 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M2 |
| Base Frequency | 3.46 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1365
255.4 IPS |
|
|
Image Classification (F16)
|
100% |
2420
452.9 IPS |
|
|
Image Classification (I8)
|
99% |
2407
450.5 IPS |
|
|
Image Segmentation (F32)
|
100% |
858
14.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
1084
18.1 IPS |
|
|
Image Segmentation (I8)
|
100% |
1075
18.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
6160
7.46 IPS |
|
|
Pose Estimation (F16)
|
100% |
13814
16.7 IPS |
|
|
Pose Estimation (I8)
|
100% |
13793
16.7 IPS |
|
|
Object Detection (F32)
|
100% |
1342
100.2 IPS |
|
|
Object Detection (F16)
|
100% |
2478
185.0 IPS |
|
|
Object Detection (I8)
|
97% |
1440
107.5 IPS |
|
|
Face Detection (F32)
|
100% |
3006
35.7 IPS |
|
|
Face Detection (F16)
|
97% |
5433
64.6 IPS |
|
|
Face Detection (I8)
|
97% |
5105
60.7 IPS |
|
|
Depth Estimation (F32)
|
100% |
5084
39.4 IPS |
|
|
Depth Estimation (F16)
|
100% |
11098
86.1 IPS |
|
|
Depth Estimation (I8)
|
99% |
11669
90.5 IPS |
|
|
Style Transfer (F32)
|
100% |
18328
24.1 IPS |
|
|
Style Transfer (F16)
|
100% |
28454
37.4 IPS |
|
|
Style Transfer (I8)
|
100% |
27859
36.6 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
4236
151.3 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
5030
179.6 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
4915
175.5 IPS |
|
|
Text Classification (F32)
|
100% |
1951
2.80 KIPS |
|
|
Text Classification (F16)
|
100% |
3252
4.67 KIPS |
|
|
Text Classification (I8)
|
96% |
3343
4.80 KIPS |
|
|
Machine Translation (F32)
|
100% |
1319
24.3 IPS |
|
|
Machine Translation (F16)
|
100% |
1628
30.0 IPS |
|
|
Machine Translation (I8)
|
99% |
1324
24.4 IPS |
